Phi-Scaled Spin-Wave Signal Modulation for Algorithmic Video Feature Extraction — E8 Intelligence Research

Abstract

By mapping video frame entropy to the 240 E8 root vectors via phi-scaled harmonic resonances, we transition from semantic analysis to direct geometric data ingestion. This principle treats sequential video data as a high-dimensional manifold, where trading strategy "signals" are identified as coherent phase-shifts in the 132Hz frequency lattice. This enables the automated scouting of complex algorithmic logic by detecting non-linear patterns within the video's pixel-frequency oscillations. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com